get rid of video inference

app.py

@@ -40,42 +40,10 @@ interface_image = gr.Interface(
 )
 
 
-def show_preds_video(video_path):
-    cap = cv2.VideoCapture(video_path)
-    while(cap.isOpened()):
-        ret, frame = cap.read()
-        if ret:
-            frame_copy = frame.copy()
-            outputs = model.predict(source=frame, conf=0.45)
-            results = outputs[0]
-            for i, det in enumerate(results.boxes.xyxy.cpu().numpy()):
-                cv2.rectangle(
-                    frame_copy,
-                    (int(det[0]), int(det[1])),
-                    (int(det[2]), int(det[3])),
-                    color=(random.randint(0,255), random.randint(0,255), random.randint(0,255)),
-                    thickness=2,
-                    lineType=cv2.LINE_AA
-                )
-            yield cv2.cvtColor(frame_copy, cv2.COLOR_BGR2RGB)
- 
-inputs_video = [
-    gr.components.Video(type="filepath", label="Input Video"),
- 
-]
-outputs_video = [
-    gr.components.Image(type="numpy", label="Output Image"),
-]
-interface_video = gr.Interface(
-    fn=show_preds_video,
-    inputs=inputs_video,
-    outputs=outputs_video,
-    title="Cats and Dogs detector",
-    cache_examples=False,
-)
+
 
 
 gr.TabbedInterface(
-    [interface_image, interface_video],
-    tab_names=['Image inference', 'Video inference']
+    [interface_image],
+    tab_names=['Image inference']
 ).queue().launch()